Li Feng1, Ricardo Otazo2, Monvadi B. Srichai2,3, Ruth P. Lim2, Ding Xia2, Daniel K. Sodickson2, Daniel Kim2
1Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States; 2Radiology, New York University School of Medicine, New York, NY, United States; 3Medicine, New York University School of Medicine, New York, NY, United States
Real-time cine MRI is a necessary cardiac MRI pulse sequence for patients with reduced breath-hold capacity and/or arrhythmia. Currently, dynamic parallel imaging methods, such as TSENSE and TGRAPPA, can be used to achieve an acceleration rate (R) of 2-3, which typically yields relatively low spatial and temporal resolution. We propose to use a joint acceleration technique that combines compressed sensing (CS) and parallel imaging (PI) to exploit joint sparsity for randomly undersampled multicoil data. This study describes highly-accelerated (R>4) real-time cine MRI using the joint CS-PI technology and shows encouraging results using this technology.